bayesMCClust (version 1.0)

Mixtures-of-Experts Markov Chain Clustering and Dirichlet Multinomial Clustering

Description

This package provides various Markov Chain Monte Carlo (MCMC) sampler for model-based clustering of discrete-valued time series obtained by observing a categorical variable with several states (in a Bayesian approach). In order to analyze group membership, we provide also an extension to the approaches by formulating a probabilistic model for the latent group indicators within the Bayesian classification rule using a multinomial logit model.

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Install

install.packages('bayesMCClust')

Monthly Downloads

12

Version

1.0

License

GPL-2

Last Published

January 31st, 2012

Functions in bayesMCClust (1.0)